Proceedings of the 2015 International Conference on Social Science and Technology Education

Study on Modeling of Short-term Wind speed Forecasting based on Time Series Analysis

Authors
Zhang Yu
Corresponding Author
Zhang Yu
Available Online April 2015.
DOI
https://doi.org/10.2991/icsste-15.2015.116How to use a DOI?
Keywords
Time series; prediction; wind speed; wind farm;
Abstract

Wind speed forecasting is an important work in the design of wind farm planning. Because of the wind speed itself has a timing sequence and autocorrelation, the paper propose wind speed forecast model for wind farms based on time series analysis. In order to test the validity of time series analysis model, using ARMA (P, q) function. In the example, compared the distribution characteristics of wind speed prediction with the actual characteristics of wind speed distribution, verify the time series model proposed in this paper use for the feasibility of wind speed forecast.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Social Science and Technology Education
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2015
ISBN
978-94-62520-60-8
ISSN
2352-5398
DOI
https://doi.org/10.2991/icsste-15.2015.116How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhang Yu
PY  - 2015/04
DA  - 2015/04
TI  - Study on Modeling of Short-term Wind speed Forecasting based on Time Series Analysis
BT  - Proceedings of the 2015 International Conference on Social Science and Technology Education
PB  - Atlantis Press
SP  - 426
EP  - 429
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsste-15.2015.116
DO  - https://doi.org/10.2991/icsste-15.2015.116
ID  - Yu2015/04
ER  -